Iveda Solutions IVDA
NASDAQ IVDA
$0.30 +0.00 (+0.50%)
At close: Oct 1, 2026 · 4:00 PM EDT

Iveda Solutions (IVDA) Accumulated Expenses (2010 - 2026)

Updated

Iveda Solutions' Accumulated Expenses came in at $294,339 for Q2 2026, down 2.6% from the prior quarter.

Analysis

Iveda Solutions (IVDA) Accumulated Expenses (2010 - 2026) Analysis & Trends

At the end of FY2025, Iveda Solutions' Accumulated Expenses was $479,057, down 51.2% from FY2024.

  • Accumulated Expenses carries a five-year compound annual growth rate of -29.5% (FY2020 to FY2025).
  • Going back by year, Accumulated Expenses was $981,769 in FY2024 (+9.0%), $900,928 in FY2023 (-27.5%), $1.24 million in FY2022 (-56.2%) and $2.83 million in FY2021 (+3.0%).
  • The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q2 2012.
  • The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2024 (growth of 9.0%), and the weakest in Q1 2023 (a decline of 71.4%).
Peer Set

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr)
1 Palo Alto Networks 323.81 Bn 308.88 Bn 2.30 Bn
2 CrowdStrike Holdings 271.09 Bn 251.53 Bn 1.10 Bn
3 Fortinet 131.14 Bn 117.07 Bn 1.64 Bn
4 Snowflake 119.71 Bn 107.03 Bn 1.04 Bn
5 Datadog 98.30 Bn 79.94 Bn 881.34 Mn
6 Okta 34.95 Bn 25.05 Bn 641.00 Mn
7 Axon Enterprise 34.32 Bn 28.85 Bn 546.45 Mn
8 Zscaler 32.52 Bn 18.64 Bn -
9 Baidu 29.56 Bn -44.07 Bn 1.47 Mn
10 Iveda Solutions 3.76 Mn -15.32 Mn 438,562.00
Historic Data

Historic Data

Download Data
DateValue
Jun 30, 2026 294,339.00
Mar 31, 2026 302,331.00
Dec 31, 2025 479,057.00
Dec 31, 2024 981,769.00
Sep 30, 2024 666,049.00
Jun 30, 2024 746,636.00
Mar 31, 2024 783,370.00
Dec 31, 2023 900,928.00
Sep 30, 2023 666,262.00
Jun 30, 2023 844,648.00
Mar 31, 2023 789,194.00
Dec 31, 2022 1.24 Mn
Sep 30, 2022 1.32 Mn
Jun 30, 2022 1.60 Mn
Mar 31, 2022 2.76 Mn
Dec 31, 2021 2.83 Mn
Sep 30, 2021 2.77 Mn
Dec 31, 2020 2.75 Mn
Dec 31, 2015 816,993.00
Dec 31, 2014 966,520.00
API Access

Iveda Solutions Accumulated Expenses API

Pull this series into your own models, spreadsheets and apps with the Business Quant Historical Metrics API. The request below matches the chart above — change the frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.

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